Last update: 28/03/2020 Data from up to: 27/03/2020

Through public data made available by John Hopkins University, it was possible to build a chart of the evolution of the virus along the days in South America and the European Community, with the first cases reported in America in early March, and those from Europe about 10-15 days before.

The charts below are iterative, it is possible to include and exclude countries in their visualization, zoom in/out on specific points of it and drag the axes; besides being able to visualize the precise figures by hovering over the curve.

I am not an infectious disease specialist, far from it. Or any other related specialist. The charts show by themselves. Each person make their own analysis/conclusions. I´ve made mine.

For both charts of the macro-political regions, the worst-off country on the other side was also included too, in order to facilitate the comparison. This curve, at first, is turned off; just click on the legend that it becomes available.

My individual analyis

Due the exponential growth of the curves it is known that the uncertanties on a prediction are substancial; however, no predictive machine learning algorithm is necessary to conclude that in about a week South American countries, specially in Brazil, can be in an extreme bad mood if irresponsible attitudes were taken.

Data and Code Location Code

The data from John Hopkins University can be found/downloaded in the following link:

Python programming language, as a tool, among the several advantages, I highlight the robustness in data manipulation and visualization, as presented in this article. The code of it is available on my GitHub:

Contributions and comments are most welcome.